The paper "A Cross-National Relationship BetweenSugar Consumption and Major Depression?" (Depressionand Anxiety [2002]: 118-120) concluded that there was acorrelation between refined sugar consumption (caloriesper person per day) and annual rate of major depression(cases per 100 people) based on data from 6 countries.The following data were read from a graph that appearedin the paper:рaper:DepressionSugarConsumption RateCountryKorea1502.3United States3003.0France3504.4Germany3755.0Canada3905.2New Zealand4805.7Compute and interpret the correlation coefficient forthis data set.. Is it reasonable to conclude that increasing sugarconsumption leads to higher rates of depression? Explain.Do you have any concerns about this study that wouldmake you hesitant to generalize these conclusions to othercountries?

Given Data : X = Sugar Consumption Y = Depression Rate 150 2.3 300 3 350 4.4 375 5 390…

Answered: The paper "A Cross-National…

MATLAB: An Introduction with Applications

6th Edition

ISBN:9781119256830

Author:Amos Gilat

Publisher:Amos Gilat

Chapter1: Starting With Matlab

Section: Chapter Questions

Problem 1P

See similar textbooks

Similar questions

Based on the data of air pollution in Los Angeles in 2019, the Environmental Protection Agency (EPA) decided to publish a new stricter regulation effective in January 2020 to reduce hydrocarbon pollution. EPA wants to evaluate whether the new regulation makes significant differences in reducing pollution. EPA collects data of monthly hydrocarbon pollution level as follows: Jan Feb Mar Apr May Jun Jul Aug Sep Oct Nov Dec 2019 7.3 6.0 5.4 5.9 3.9 5.7 6.9 7.6 6.3 5.8 5.1 5.9 2020 5.3 6.1 5.6 5.7 3.7 4.7 6.1 7.2 6.4 5.7 4.9 5.8
A paper concluded that there was a correlation between refined sugar consumption (calories per person per day) and annual rate of major depression (cases per 100 people) based on data from six countries. The following data were read from a graph that appeared in the раper. Sugar Consumption Depression Rate Country Korea 160 2.4 United States 290 3.1 France 360 4.3 Germany 365 4.9 Canada 380 5.3 New Zealand 470 5.6 n USE SALT (a) Calculate the correlation coefficient for this data set. (Round your answer to four decimal places.) r = 0.9428 Interpret the correlation coefficient for this data set. O There is a weak, positive linear relationship between depression rate and sugar consumption. O There is no linear relationship between depression rate and sugar consumption. O There is a strong, negative linear relationship between depression rate and sugar consumption. O There is a weak, negative linear relationship between depression rate and sugar consumption. O There is a strong, positive…
2.1 The Australian Bureau of Statistics (ABS) has recently released a report on the relationship between international students’ ethnicity and enrolments in higher education. Identify the dependent variable(s) and the independent variable (s) in the above scenario.
1 a) Hair color is an True False example of a qualitative data.
Assume the professor of a particular course is male, and interpret the coefficient on FemaleStudent. What is the predicted difference in performance between a female student and a male student? What's the magnitude of the coefficient?
4.A corporation imposes different price increases on its product in eight different regions of the country and measures over the next year changes in sales volume. The results are shown in the accompanying table. Change in 6 5 4 7 7 10 8 Price (Percentage) Change in 5.2 7.3 7.4 4.6 5.3 5.0 -1.0 2.9 Sales (Percentage) a. Find correlation coefficient between change in price and change in sales and test it whether it is statistically significant at 0.05 significance level. b. Determine which variable is dependent variable and which variable is independent variable based on the original variables, estimate the regression model and interpret the model. c. Run hypothesis testing at 0.05 signi ance level whether the egression coefficient bị is statistically significant or not. d. Calculate R2 value and interpret the result e.Predict the dependent variable value when independent variable is 4.8 and interpret the result.
3. Eight different aged patients are tested on their sugar levels in a laboratory to know whether there is any relationship between the age and blood sugar level. Using appropriate method, analyze the following data and give your comments on the same. Patients 10 15 20 25 30 35 40 45 Blood- 70 85 110 180 125 100 180 120 Sugar level
Suppose we are interested in studying the relationship between the shelf life of cheeses in a dairy factory and the thickness of the packaging material used for those cheeses. We would like to determine if there is a causal relationship between the thickness of the packaging material and the shelf life of the cheese; that is, does a change in the thickness of the packaging material cause a change in the shelf life of the cheese? Select the study that would be best source of evidence for establishing the existence of a causal relationship. Select one: O a. A study which uses a stratified random sample, stratifying by type of cheese, to select units of cheese in the factory and determine the thickness of the packaging material and test the shelf life of each unit. O b. A study which uses a cluster sample, clustering by room the cheese is stored in, to select units of cheese in the factory and determine the thickness of the packaging material and test the shelf life of each unit. O c. A…
According to multiple research, there is a -0.697 correlation between happiness and loneliness. This means that _________. a. People who are happier tend to be less lonely. b. People who are happier tend to be more lonely. c. There is no link between happiness and loneliness. d. There is a causal relationship between happiness and loneliness.
Among the literature on quitting smoking are data detailing the relative successfulness of people of different ages in quitting smoking. A study of 400 adults who began various smoking-cessation programs produced the data in the table below. In the table, each participant is classified according to two variables: length of their smoking cessation period ("Less than two weeks", "Between two weeks and one year", or "At least one year") and age ("21-34", or "35 and over"). In the table, "less than two weeks" means that the individual returned to smoking within two weeks of beginning the program; "between two weeks and one year" means that the individual lasted the first two weeks without smoking but retuned to smoking within a year; and "at least one year" means that the individual has not smoked for at least a year since beginning the program. The table is a contingency table whose cells contain the respective observed frequencies of classifications of the 400 smokers. In addition, three…
Subject; ste
1. Listed below are systolic blood pressure measurements (in mm Hg) obtained from the same woman. Is there sufficient evidence to conclude that there is a linear correlation between right and left arm systolic blood pressure measurements? Right Arm Left Arm 102 101 169 79 146 79 144 94 175 182

SEE MORE QUESTIONS

Recommended textbooks for you

MATLAB: An Introduction with Applications

Statistics

ISBN:

9781119256830

Author:

Amos Gilat

Publisher:

John Wiley & Sons Inc

Probability and Statistics for Engineering and th…

Statistics

ISBN:

9781305251809

Author:

Jay L. Devore

Publisher:

Cengage Learning

Statistics for The Behavioral Sciences (MindTap C…

Statistics

ISBN:

9781305504912

Author:

Frederick J Gravetter, Larry B. Wallnau

Publisher:

Cengage Learning

MATLAB: An Introduction with Applications

Statistics

ISBN:

9781119256830

Author:

Amos Gilat

Publisher:

John Wiley & Sons Inc

Probability and Statistics for Engineering and th…

Statistics

ISBN:

9781305251809

Author:

Jay L. Devore

Publisher:

Cengage Learning

Statistics for The Behavioral Sciences (MindTap C…

Statistics

ISBN:

9781305504912

Author:

Frederick J Gravetter, Larry B. Wallnau

Publisher:

Cengage Learning

Elementary Statistics: Picturing the World (7th E…

Statistics

ISBN:

9780134683416

Author:

Ron Larson, Betsy Farber

Publisher:

PEARSON

The Basic Practice of Statistics

Statistics

ISBN:

9781319042578

Author:

David S. Moore, William I. Notz, Michael A. Fligner

Publisher:

W. H. Freeman

Introduction to the Practice of Statistics

Statistics

ISBN:

9781319013387

Author:

David S. Moore, George P. McCabe, Bruce A. Craig

Publisher:

W. H. Freeman

SEE MORE TEXTBOOKS